Hao Wang

Assistant professor at Leiden University Bayesian Optimization, Multi-Objective Optimization, Variational Quantum Algorithms, Benchmarking..

[Hao Wang @ConvexKKT]

Check out my latest article: Evolutionary Computation Journal 34(1) now online https://t.co/MISHyt5P3i via @LinkedIn

[Hao Wang @ConvexKKT]

3-Year Postdoc in Structures and Homotopy in Optimisation

Henning Basold and I (both working at Leiden University) are currently looking for a postdoc to work on abstract structures in optimisation algorithms and theory: https://t.co/ryUUuigfkv

#optimization #categorytheory

[Hao Wang @ConvexKKT]

#ICML2024 Will be presenting my paper on Multi-objective Bayesian optimization on Poster Session 1 on Tuesday, where we analyzed the probability distribution of the Hypervolume Improvement function.

Please drop by if you are interested :)

[Prof. Emma Hart @HartEmma]

Enjoying presenting our recent work in evolutionary robotics at the University of Cambridge at an international workshop on Embodied AI ⁦@EdNapierSCEBE⁩

[Ayan Das @dasayan05]

🚨 Diffusion Model's Theory from ground-up 🚨

Accepted at #ICLR2024 BlogPost Track. The blogpost goes back in history and shows the origin of Diffusion Models. It provides a ground-up view of how diffusion model's theory was evolved over time.

Link: https://t.co/qpgTu4xh3w

🧵1/2

[Probability and Statistics @probnstat]

📊 Convergence of Stochastic Processes by David Pollard 👇

[PPSN2024 @PPSN2024]

⭐️Keynote announcement⭐️
We are very pleased to announce Oliver Schütze as one of the keynote speakers of PPSN 2024!
You can read more about him and his work in our latest news post!
https://t.co/8QUGLAdJaw

[Gabriel Peyré @gabrielpeyre]

Csiszar f-divergences (KL, TV, Hellinger, Chi2, etc.) are all closely related and define similar topologies. Wasserstein distance in contrast requires upper/lower bounds on the spacing between the points. Nice review by Gibbs and Su. https://t.co/dbJDhflJEO

[PPSN2024 @PPSN2024]

Save the date!!
The 18th International Conference on Parallel Problem Solving From Nature is happening September next year in Hagenberg, Austria at @fhhgb!
Come join us for some great scientific days in Upper Austria!

[Thomas Bartz-Beielstein @bartzbeielstein]

PPSN CALL FOR PPSN 2024 TUTORIALS https://t.co/5d2oJ5U5kD via @bartzbeielstein

[CarolaDoerr @CarolaDoerr19]

📢Fully funded PhD position for double-degree at Sorbonne University and Uni of St Andrews, supervised by Nguyen Dang @ndangtt and I
topic: using (deep) reinforcement learning for controlling black-box optimization algorithms
ℹ️https://t.co/P0VeinOb9X
@StAndrewsCS @LIP6_lab

[CarolaDoerr @CarolaDoerr19]

At 14:00 Paris time today, Timo will be discussing drift theorems for running time analysis of evolutionary algorithms and other randomized search algorithms and processes. All relevant information on the website linked below.

[Benjamin Doerr @BenjaminDoerr1]

First runtime analysis of the #NSGA2 on a combinatorial optimization problem. Also such processes can be analyzed with mathematical means! To appear at #IJCAI2023 @IJCAI. All coauthors students at @HPI or @LIX_lab @Polytechnique @IP_Paris_. You rock!!! https://t.co/8OMbl0qm5P.

[CarolaDoerr @CarolaDoerr19]

pls share: We are looking for a research engineer.
Pre-doc or post-doc level, possibility to join our research
Employment via CNRS at Sorbonne University in Paris city center.
New application deadline: May 21
Happy to discuss details of this job offer.
https://t.co/wJUsL0fMHR

[Charles MOUSSA @mousscharles]

New paper where we combine #quantum-inspired #generative models, GANs, SELFIES, and sample-based metrics for molecular generation tasks on small datasets (one made of 516 validated antioxidants from @TotalEnergies)! Metrics reflect their learning and multiobjective performances👇

[CarolaDoerr @CarolaDoerr19]

📣We are hiring!
🖇️12-months research engineering position available in our team @LIP6_lab @Sorbonne_Univ_ in Paris, funded by @INS2I_CNRS (post-doc or pre-doc level)
🎯extensions of IOHprofiler platform for analyzing black-box optimization algorithms
🔗https://t.co/wJUsL0fMHR

[Hao Wang @ConvexKKT]

#EMO2023 2/ the best paper award was selected from the top-ranked contributions by a jury consisting of Robin Purshouse (EMO Steering Committee), Carlos Coello Coello (EMO Steering Committee), and Ke Li (Program Chair). Submissions by the team of the organizer were excluded.

[Hao Wang @ConvexKKT]

#EMO2023 Looking forward to seeing you all tomorrow!

[Hao Wang @ConvexKKT]

1/ We, the EMO 2023 team of LIACS, Leiden University, are happy to welcome you to Leiden for our conference on multi-criterion optimization next week. We are proud to feature an interesting scientific program.

[Hao Wang @ConvexKKT]

3/ And for those who attend online, the information about our online participation system finds you well.
Also, please note that the EMO 2023 proceedings can already be studied online. https://t.co/aD9v3NNa76

[Hao Wang @ConvexKKT]

2/ ... with 5 keynote talks by distinguished experts in our field and 42 new research papers with original cutting-edge research contributions that will be orally presented next week. Wishing everyone who is attending onsite a good journey.